normalizeGaussian_severalstations_prec function

DEPRECATED Converts several samples x random variable (daily precipitation values) extracted by populations represented by the columns of data respectively or sample

to a normally-distributed samples with assinged mean and standard deviation or vice versa in case inverse is TRUE using the function normalizeGaussian_prec

normalizeGaussian_severalstations_prec(x, data = x, cpf = NULL,
  mean = 0, sd = 1, inverse = FALSE, qnull = NULL, valmin = 0.5,
  type = 3, extremes = TRUE, sample = NULL, origin_x = NULL,
  origin_data = NULL)

Arguments

• x: value to be converted
• data: a sample of data on which a non-parametric probability distribution is estimated
• cpf: cumulative probability distribution. If NULL (default) is calculated as ecdf(data)
• mean: mean (expected value) of the normalized random variable. Default is 0.
• sd: standard deviation of the normalized random variable. Default is 1.
• inverse: logical value. If TRUE the function works inversely (the opposite way). Default is FALSE.
• qnull: probability of no precipitation occurrence. (It can be a matrix in case sample="monthly"
• valmin: minimum value of precipitation to consider a wet day
• type: see quantile
• extremes: logical variable. If TRUE (default) the probability or frequency is multiplied by

where $N$ is the length of data

• sample: information about sample or probability distribution. Default is NULL
• origin_x: date corresponding to the first row of x
• origin_data: date corresponding to the first row of data

Returns

a matrix or a data.frame with the normalized variable or its inverse

Note

In the version 1.2.5 of RMAWGEN This function is deprecated and not used.

See Also

normalizeGaussian_prec

Author(s)

Emanuele Cordano, Emanuele Eccel